{"id":"W2107724203","doi":"10.1111/j.1540-5982.2006.00365.x","title":"Shirking in a monetary business cycle model","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Business cycle; Unemployment; Monetary policy; Shock (circulatory); Rigidity (electromagnetism); Wage; Involuntary unemployment; Monetary economics; Macroeconomics; Keynesian economics; Labour economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002644841,0.0007589083,0.001699736,0.0005743021,0.0006577628,0.002668381,0.001869186,0.002759496,0.009904272],"category_scores_gemma":[0.008616203,0.0005807497,0.0008080563,0.0005650519,0.001489481,0.001792129,0.001398213,0.001461998,0.0009355012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092209,"about_ca_system_score_gemma":0.0008919192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00522514,"about_ca_topic_score_gemma":0.002558457,"domain_scores_codex":[0.9987022,0.0006667579,0.00004810038,0.0002296102,0.0001130872,0.0002401874],"domain_scores_gemma":[0.9957689,0.002187615,0.0007800779,0.0004537233,0.0002251781,0.0005844582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005133788,0.0003493583,0.007092229,0.0001047967,0.0001269507,0.0008051065,0.0004400804,0.7258465,0.001038392,0.2522055,0.002037372,0.009440352],"study_design_scores_gemma":[0.0001061158,0.00007015632,0.0009952621,0.00001606129,0.0000217573,0.00005692436,0.00006628705,0.9345212,0.00007936208,0.06329601,0.0007521293,0.00001882316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657354,0.0006492452,0.1856382,0.004674752,0.0001729097,0.000146246,0.0008394272,0.0003348897,0.041809],"genre_scores_gemma":[0.9864013,0.0001420133,0.002156571,0.0001306571,0.00003999718,0.00006056883,0.0001114677,0.0000204776,0.010937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009904272,"threshold_uncertainty_score":0.03313309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630341571683937,"score_gpt":0.171468525737413,"score_spread":0.008434368569019357,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}